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Updated: May 22, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
Published on: July 16, 2014
Amplitude of low-frequency fluctuation differences in resting-state functional magnetic resonance imaging between
Bin Li1, Jiaojiao Zhou2, Xudong Zhu2
1Department of Radiology, Suzhou Hospital of Anhui Medical University, Suzhou, Anhui Province, 234000, China.
Background:
Parkinson's disease (PD) and Multiple system atrophy-parkinsonian type (MSA-P) both belong to α-synucleinopathies. Their overlapping clinical manifestations often lead to misdiagnosis. This study aimed to identify objective neuroimaging biomarkers for differentiating PD from MSA-P.
Methods:
25 PD patients, 20 MSA-P patients, and 20 healthy controls (HC) were enrolled. All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI). Differences in the amplitude of low-frequency fluctuation (ALFF) across brain regions between the PD and MSA-P groups were analyzed, and the discriminative ability of ALFF alterations was evaluated.
Results:
Compared to MSA-P patients, PD patients exhibited significantly reduced ALFF in the bilateral cerebellum, left occipital lobe, bilateral cingulate cortex, and right hippocampus (all P < 0.05). Receiver operating characteristic (ROC) curve analysis demonstrated that the ALFF alterations in the right cerebellar subregions (Cerebellum_3_4_5_R/Cerebellum_10_R) achieved an area under the curve (AUC) of 0.900 for distinguishing PD from MSA-P.
Conclusions:
Our study provides new insights into ALFF alterations in specific brain regions of PD and MSA-P patients using rs-fMRI, offering a theoretical basis for exploring their distinct neural mechanisms. Furthermore, we identified that ALFF changes in the right cerebellar subregions serve as a potential imaging biomarker for differentiating PD from MSA-P.
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